a university administration system for students
Estimated monthly cost at the usage scale below — billed by actual usage
225 req/s
Peak Concurrency
2.42 GB
Database Storage
76.54 GB
Object Storage
81.84 GB
Outbound data transfer
What is this app
这是一个面向高校学生、教师和行政人员的行政管理系统。学生可以查看包含教室地点的课程表、提交作业文件，并在每节课开始前完成签到；教师可以创建作业、查看提交并记录成绩，同时查看考勤记录。系统还提供AI客服聊天功能，帮助学生咨询学校政策及其他相关事宜，作业文件保留30天。
As a student, I want to view my timetable and classroom locations so that I know where and when to attend classes.
As a student, I want to submit an assignment file so that my instructor can review my work.
As a student, I want to check in before a class begins so that my attendance is recorded.
As a student, I want to review my assignment submissions so that I can confirm what I submitted.
As a student, I want to ask an AI-powered support assistant about university policies and related matters so that I can obtain guidance.
As an instructor, I want to create assignments for my class sections so that students have coursework to complete.
As an instructor, I want to review submitted assignment files and record grades so that student work is assessed.
As an instructor, I want to review attendance records for my class meetings so that I can monitor participation.
As an administrator, I want to maintain courses, rooms, class sections, and scheduled meetings so that students and instructors have authoritative academic information.
15000
students
Authenticated students who view timetables and classroom locations, submit assignment files, check in to classes, review submissions, and use AI-powered student support.
900
instructors
Authenticated teaching staff who create assignments, review submitted files, record grades, and inspect attendance for their class sections.
150
administrators
Authenticated academic and system administrators who maintain courses, rooms, class sections, and scheduled class meetings.
Requirements to minimum viable plan to cost
Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out.
The numbers in the "Project demand" column below — their scale assumptions and derivations — are detailed in Scale & sizing.
Minimum viable plan
BASIC
多模块工作流、长期高校使用及机构品牌需求要求至少 BASIC 计划。
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
39
single-tenant kit
225 req/s
single-tenant kit × 2
(plan/kit 305 req/s)
Covered by plan/kit (margin ~36%)
240
Database storage add-on
4.99 GB
10GB × 1/year, amortized monthly
(plan/kit 4.20 GB + add-on +785.48 MB)
Add-on fills +785.48 MB gap beyond plan/kit
8.33
Object storage
add-on
82.18 GB
not purchased
(plan/kit 102.00 GB)
Covered by plan/kit (margin ~24%)
0
Outbound data transfer add-on
87.87 GB/mo
not purchased
(plan/kit 102.00 GB/mo)
Covered by plan/kit (margin ~16%)
0
AI points add-on
44.5M points
6,000,000 AI Points × 8/month
(plan/kit 49.0M points + add-on +43.5M points)
Add-on fills +43.5M points gap beyond plan/kit
80
plan + add-ons · usage-based · no development cost
Your options for this project
In the table below, the "monthly infrastructure" for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage.
5 × t4g.large × 730h
EC2 t4g.large → 245.28
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2.60 GB-month
RDS gp3 storage → 0.3
82.18 GB-month
S3 Standard → 1.89
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $479.61 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $160,000 - $210,000
≈ $480
Based on the AWS estimate above
≈ $2,480
Infra $480 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $18,000 - $26,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $8,000 - $12,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
$0
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$0
$367
All-in: egress / storage / auto-scaling included
$367
hours
5 / 5
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/mo all-in and removes the need for an ops team.
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.
What scale this estimate assumes, and how the numbers are derived
Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation.
We assume the university has approximately 15,000 students as stated, together with a substantial instructor population and a smaller academic-administration team typical for an institution of this size. We use 900 registered instructors and 150 registered administrators as planning pools, giving a total registered population of 16,050. If the university's actual staffing model differs, these population pools can be adjusted without changing the student-centered feature scope.
We assume this is a university administration system that launches with a full pre-existing dataset because courses, class sections, rooms, enrollments, and schedules must be available from the first day of operation. If the system starts with only a small pilot cohort and grows gradually, this parameter can be adjusted downward.
Class Check-In Peak
Class Check-In Peak
Routine Student Planning
Daily Coursework Activity
Student Support Hours
22
times/month
225 req/s
Peak load
We assume class starts create a strong synchronized attendance window across the university, with students checking in shortly before scheduled meetings. A 120-second duration represents the physical pre-class burst, while 22 monthly occurrences represent weekday operation. Schedule review, assignment submission, and support are not bundled into this purpose because they have different timing and intent.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. Click to expand each item.
How this app works
What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI
assistant behind each one.
Routine student timetable and classroom-location review.
Student assignment reading, submission, and confirmation.
Pre-class student attendance check-in.
Student conversation with AI-powered student support about university policies and related matters.
Instructor assignment creation, submission review, and grading.
Instructor review of attendance for scheduled class meetings.
Administrative creation and publication of academic catalog and schedule data.
page
data_table
ai_agent
action_flow
Student Dashboard
Authenticated student landing view for current academic activity and navigation.
Student Schedule Page
Detailed timetable view showing enrolled courses, meeting times, and classroom locations.
Assignment Detail Page
Student assignment reading, file submission, and submission-history view.
Attendance Check-in Page
Focused student attendance check-in interface for an upcoming class session.
AI Support Chat Page
Authenticated conversational support interface for university policy and administrative questions.
Instructor Workbench
Instructor-facing workspace for course assignments, submission review, grading, and attendance review.
Administration Page
Administrative management view for the academic catalog, rooms, and class schedules.
What you might want to know about this project
The Q&A below is generated by AI based on this project's type, features and scale.
What will drive resource usage most in this university administration system?
Will class check-in create peak traffic?
How does the 30-day assignment retention policy affect storage?
Who are the main users of the system?
How is the AI-powered student support feature represented?
Copy to discuss with AI
Challenge & re-estimate